Senior Data Architect

Marx Enterprise Transformation Architecture
Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Senior Data Engineer_London_Hybrid

Senior Data Engineer

Senior Data Engineer

Senior Data Solutions Designer

Senior Data Solutions Designer

Job Title:Senior Data Architect

Type:Remote, Full-time


About the Role

Marx Technology Consulting Ltd is looking for aSenior Data Architectto join our dynamic and innovative team. Based in London, we are a leading enterprise architecture consulting firm committed to helping clients harness the power of data for informed decision-making and strategic growth. In this impactful role, you’ll design and implement robust, scalable data architecture solutions tailored to the needs of our clients, guiding them toward a data-driven future.


Key Responsibilities

  • Data Architecture Strategy & Roadmap:Develop comprehensive data architecture strategies and roadmaps that align with clients' business objectives.
  • Collaborate with Stakeholders:Engage with stakeholders to gather and understand data requirements, ensuring data solutions are aligned with business needs.
  • Solution Design & Implementation:Lead the design and implementation of scalable, efficient data integration and storage solutions that support data-driven insights.
  • Data Governance & Compliance:Ensure data governance and regulatory compliance across solutions, incorporating best practices for data security and privacy.
  • Technical Leadership & Mentorship:Provide guidance and mentorship to data engineering teams, fostering best practices in data architecture and solution implementation.
  • Industry Trend Analysis:Stay informed on emerging data technologies and industry trends, identifying opportunities to enhance data architecture solutions.


Qualifications & Experience

  • Experience:Proven experience as a Senior Data Architect, with a track record of designing and implementing data architecture solutions in a corporate or consulting environment.
  • Technical Expertise:In-depth knowledge of data architecture principles, best practices, data modeling, integration, and storage technologies.
  • Soft Skills:Strong communication and collaboration skills, with the ability to convey complex data concepts to both technical and non-technical stakeholders.
  • Certifications:Relevant certifications such as CDMP (Certified Data Management Professional) are a plus.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.